City-level video surveillance system is an important part of the construction of a safe city,and it is necessary to adapt to the new characteristics of the development of various intelligent technologies.In view of the third stage of the development of the current video surveillance system from"visible"and"clear"to"understandable",starting from the current situation and problems faced by the application of video image perception,based on the resource orchestration theory,the application of association score,feature extraction and face recognition algorithm,the idea of constructing a system of comprehensive perception of video image big data is proposed,and the search for missing persons,extreme prevention of individuals in the community,and the intelligent application of various social management and service scenarios,such as the protection of minors,provides a practical reference for improving the ability to maintain social security and stability in the new era and meeting the needs of a new service-oriented public security governance.
关键词
视频监控/人工智能/资源编排/场景应用
Key words
video surveillance/artificial intelligence/resource allocation/scene application
维普
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